diff --git a/src/data/roadmaps/mlops/content/spark@UljuqA89_SlCSDWWMD_C_.md b/src/data/roadmaps/mlops/content/spark@UljuqA89_SlCSDWWMD_C_.md
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 # Spark
 
-Apache Spark is an open-source distributed computing system used for big data processing and analytics. It provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
+Apache Spark is an open-source distributed computing system designed for big data processing and analytics. It offers a unified interface for programming entire clusters, enabling efficient handling of large-scale data with built-in support for data parallelism and fault tolerance. Spark excels in processing tasks like batch processing, real-time data streaming, machine learning, and graph processing. It’s known for its speed, ease of use, and ability to process data in-memory, significantly outperforming traditional MapReduce systems. Spark is widely used in big data ecosystems for its scalability and versatility across various data processing tasks.
 
 Visit the following resources to learn more:
 
+- [@official@ApacheSpark](https://spark.apache.org/documentation.html)
 - [@article@Spark By Examples](https://sparkbyexamples.com)
 - [@feed@Explore top posts about Apache Spark](https://app.daily.dev/tags/spark?ref=roadmapsh)